Remove 2030 Remove Data Quality Remove Responsible AI
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Data Analytics Trend Report 2023 – How to Stay Ahead of the Game

Pickl AI

Hence, introducing the concept of responsible AI has become significant. Responsible AI focuses on harnessing the power of Artificial Intelligence while complying with designing, developing, and deploying AI with good intentions. By adopting responsible AI, companies can positively impact the customer.

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Healthcare Datasets: Powering the Future of AI in Healthcare

Defined.ai blog

According to Statista , in 2021, the global market for artificial intelligence (AI) in healthcare touched an impressive 11 billion U.S. dollars by 2030, signaling a compound annual growth rate of 37 percent from 2022 onwards. Fueling this monumental rise is the backbone of AI innovations: healthcare datasets.

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How MLCommons is democratizing data with public datasets

Snorkel AI

Those pillars are 1) benchmarks—ways of measuring everything from speed to accuracy, to data quality, to efficiency, 2) best practices—standard processes and means of inter-operating various tools, and most importantly to this discussion, 3) data. In order to do this, we need to get better at measuring data quality.

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How MLCommons is democratizing data with public datasets

Snorkel AI

Those pillars are 1) benchmarks—ways of measuring everything from speed to accuracy, to data quality, to efficiency, 2) best practices—standard processes and means of inter-operating various tools, and most importantly to this discussion, 3) data. In order to do this, we need to get better at measuring data quality.